职位&公司对比

职位详情

• 天津
• 5-10年
• 本科

• Java
• 要求数据开发经验
• Spark
• 数据平台开发经验
• 金融行业经验

【全英文面试，早九晚六不加班，三天办公室，两天居家远程】 做的是数据湖 数仓相关 有过JAVA开发工作经验是加分项 有Hadoop生态系统 Key Responsibilities: • Design, develop, and maintain data warehouse solutions to support business intell直聘igence and analytics. • Work with Hadoop ecosystem technologies such as HDFS, Hive, HBase, Spark, and Kafka. • Develop efficient SQL queries and ETL processes for data ingestion, transformation, and reporting. • Optimize data models, performance tuning, and query execution for large-scale datasets. • Collaborate with cross-function直聘al teams to understand business requirements and translate them into scalable data solutions. • Ensure data quality, governance, and security best practices are followed. • Troubleshoot and resolve performance and data-related issues in a timely manner. • Stay up-to-date with the latest big data and clo来自BOSS直聘ud-based data warehousing trends. Required Skills & Qualifications: • 5 - 10 yeaBOSS直聘rs of experience in data warehousing and big data development. • Strong expertise in Hadoop ecosystem (HDFS, Hive, Spark, HBase, Kafka, etc.). • Proficiency in SQL, data modeling, and ETL development. • Experience with distributed computing, parallel processing, and performance tuning. • Hands-on experience with data lak直聘e architectures and cloud platforms (AWS, Azure, GCP). • Good understanding of data governance, metadata management, and security best practices. • Excellent English communication skills, both verbal and written. Nice to Have: • Experience in Financial Markets (FM), trading systems, or banking data analytics. • Familiarity with real-time data processing frameworks (Flink, Druid, Presto). • Knowledge of Python, Scala, or Java for data processing. • Exposure to data visualization tools (Tableau, Power BI, Looker).